PhD Position in Inverse Problems for Stochastic Models in Ocean Dynamics

This doctoral position focuses on formulating inverse problems to determine stochastic noise covariances in fluid dynamics models under location uncertainty, specifically targeting deep ocean convection. Hosted by the Inria Odyssey team in Rennes and collaborating with multiple academic and research institutions under the ANR NOUILLES project, the candidate will combine theoretical developments, physical modeling, and numerical implementations. The successful applicant is expected to analyze high-resolution reference simulations and scale up robust stochastic parameterization techniques. The position offers a stimulating multidisciplinary research environment bridging applied mathematics and oceanography.

• Familiarize with stochastic models applied to deep convection events using large eddy simulations
• Handle reference numerical simulations of large eddy simulations executed with the CROCO operational code
• Formulate theoretical inverse problems tailored to stochastic geophysical fluid dynamics models
• Compare adjoint methods, ensemble methods, control parameters, and cost functions
• Investigate stochastic noise covariance conditioned by environmental parameters like surface heat flux or stratification